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Updates have been made to the General Evaluation Specifications document and our validation package to reflect the update to CentOS 8.2 as the new evaluation operating system. From September 12, 2020 onward, we will require all algorithms submitted to any track of FRVT be compiled for the CentOS 8.2 operating system. Our image of that OS is available for download.
The table provides a summary of all algorithms measured on attack presentation classification error rate (APCER) when bona fide classification error rate (BPCER) is set to 0.1 and 0.01, across different morphing datasets. APCER, or morph miss rate, is the proportion of morphs that are incorrectly classified as bona fides (nonmorphs). BPCER, or false detection rate, is the proportion of bona fides falsely classified as morphs.
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Global Morph
Local Morph
Local Morph Colorized Average
Local Morph Colorized Match
Complete
Splicing
Combined
UNIBO Automatic Morphed Face Generation Tool v1.0